Karstic landscape detection using electrical resistivity tomography in northeast Algerian

Sinkhole (doline) collapse is one of the major natural hazards threatening people and property in the Middle East and North Africa (MENA) region, especially if the bedrock structure is epi-karstic, covered by encrusted material. Many dolines-avens collapses have been recorded in urban and rural areas in Northeast Algeria. Our study identifies localized deformation that may be caused by a sinkhole activity based on the electrical resistivity tomography (ERT) imaging in Setifian high plains. For this task, we conducted 2-D Wenner and Wenner-Schlumberger transects profiles. The geological and hydrogeological study helped to calibrate the resistivity model, and in this regard, expound on the proneness of the limestone layer to collapse. The obtained model highlights the heterogeneity of the subsurface. The inverted transects allowed the investigation of 20 m depth with Wenner array and 52 m with Wenner-Schlumberger. The Wenner inverted models imaged the chimney and different karst networks until 20 m depth; even as the Wenner-Schlumberger models imaged a new karstic cavity in the limestone layer. ERT imaging has once again proven its effectiveness in mapping sinkholes based on its ability to detect resistivity. Our research can certainly benefit karst collapse monitoring in other areas of the high plain region.